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This model serves as the baseline for the Aerial Wildfire Suppression environment, trained and tested on task 6 with difficulty 8 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Aerial Wildfire Suppression
Task: 6
Difficulty: 8
Algorithm: PPO
Episode Length: 3000
Training max_steps: 1800000
Testing max_steps: 180000

Train & Test Scripts
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Evaluation results

  • Crash Count on hivex-aerial-wildfire-suppression
    self-reported
    0.010958191571990027 +/- 0.004573914836666436
  • Extinguishing Trees on hivex-aerial-wildfire-suppression
    self-reported
    0.18876909412210807 +/- 0.14536552612874615
  • Extinguishing Trees Reward on hivex-aerial-wildfire-suppression
    self-reported
    0.9438454601913691 +/- 0.7268276219188166
  • Preparing Trees on hivex-aerial-wildfire-suppression
    self-reported
    295.6805847167969 +/- 8.689367684892192
  • Preparing Trees Reward on hivex-aerial-wildfire-suppression
    self-reported
    295.6805847167969 +/- 8.689367684892192
  • Water Drop on hivex-aerial-wildfire-suppression
    self-reported
    0.9887655645608902 +/- 0.004140661152640941
  • Water Pickup on hivex-aerial-wildfire-suppression
    self-reported
    0.0006430462468415499 +/- 0.0013853557027389734
  • Cumulative Reward on hivex-aerial-wildfire-suppression
    self-reported
    295.6266799926758 +/- 9.439199947060839